SWIFT: Enabling Spectrum Coexistence of 5G mmWave and Passive Weather Sensing

SWIFT：实现 5G 毫米波和被动天气传感的频谱共存

• 批准号: 2128077
• 负责人: Narayan Mandayam
• 金额: $ 75万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2128077&HistoricalAwards=false
• 关键词: SWIFT; Enabling; Spectrum; Coexistence; 5G

The demand for increasingly higher wireless data rates in 5G and Beyond 5G (B5G) developments has led to the utilization of newer spectrum in the mmWave bands that had not been previously allocated for commercial wireless applications. Such new spectrum opportunities often come with speculation when it relates to impacting collocated or adjacent spectrum utilized for other services. Specifically, the 5G band allocated in the 26 GHz spectrum referred to as 3GPP band n258 has generated anxiety and concern in the meteorological data forecasting community including the National Oceanic and Atmospheric Administration (NOAA). This issue stems from 5G transmissions impacting the observations of passive sensors on weather satellites used to detect the amount of water vapor in the atmosphere, which in turn affects weather forecasting and predictions. To this end, the proposed research project aims to tackle this issue by characterizing the impact of 5G transmissions on weather data measurements and prediction, and then design cross layer mitigation strategies needed to enable coexistence between 5G services and weather prediction, as well as improved weather prediction algorithms. Furthermore, undergraduate, graduate and high school students including underrepresented minority groups will be engaged and trained in the coexistence of 5G with passive sensing and weather forecasting.The project will lead to algorithm designs, reference architectures, and testbed experiments that will provide pointers to engineering methodology for the design of spectrally and system power-efficient 5G/B5G networks that can peacefully coexist with passive weather sensors. It will also enable the development of improved weather forecasting algorithms that are cognizant of the potential impact of unintended interference. The specific research tasks entail: (i) designing improved models for characterizing the 5G impact on radiance using both simulation and analysis based approaches taking into account transmit power levels, specific sub-band occupancy, transmit modulation schemes, nonlinearity of power amplifiers, and absorption and transmission through layers of clouds and atmosphere; (ii) mapping the spatial density of 5G transmitters, and the elevation and directionality of transmissions to geospatial sensitivity to leakage; (iii) devising novel cross-layer approaches for mitigating the 5G impact on 23.8 GHz using antennas/circuit (filtenna) design and direct modulation based beam steering that is integrated with cooperative MAC and networking strategies along with power control; (iv) developing improved weather prediction algorithms that are designed to be robust to 5G leakage; and (v) experimenting on the PAWR COSMOS testbed to study adjacent channel leakage from 5G transmissions.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

5G 和超 5G (B5G) 开发对越来越高的无线数据速率的需求导致了毫米波频段中更新频谱的使用，而这些频段以前尚未分配给商业无线应用。当涉及到影响用于其他服务的并置或相邻频谱时，此类新频谱机会常常伴随着猜测。具体而言，26 GHz 频谱中分配的 5G 频段（称为 3GPP 频段 n258）引起了包括美国国家海洋和大气管理局 (NOAA) 在内的气象数据预报界的焦虑和担忧。这个问题源于 5G 传输影响气象卫星上用于检测大气中水蒸气量的无源传感器的观测，从而影响天气预报和预测。为此，拟议的研究项目旨在通过表征5G传输对天气数据测量和预测的影响来解决这个问题，然后设计实现5G服务和天气预报共存以及改善天气所需的跨层缓解策略预测算法。此外，包括少数群体在内的本科生、研究生和高中生将接受 5G 与被动传感和天气预报共存的培训。该项目将带来算法设计、参考架构和测试台实验，为工程提供指导。用于设计光谱和系统节能 5G/B5G 网络的方法，该网络可以与无源天气传感器和平共存。它还将有助于开发改进的天气预报算法，该算法能够认识到意外干扰的潜在影响。具体研究任务包括：(i) 使用基于仿真和分析的方法设计改进模型，以表征 5G 对辐射的影响，同时考虑发射功率水平、特定子带占用、发射调制方案、功率放大器的非线性和吸收以及通过云层和大气层的传输； (ii) 绘制 5G 发射机的空间密度以及传输的高度和方向性与地理空间泄漏敏感性的关系图； (iii) 使用天线/电路 (filtenna) 设计和基于直接调制的波束控制（与协作 MAC 和网络策略以及功率控制集成）设计新颖的跨层方法，以减轻 5G 对 23.8 GHz 的影响； (iv) 开发改进的天气预报算法，旨在抵御 5G 泄漏； (v) 在 PAWR COSMOS 测试台上进行实验，以研究 5G 传输中的相邻信道泄漏。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力优点和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Resource Allocation Using Filtennas in the Presence of Leakage

在存在泄漏的情况下使用 Filtennas 进行资源分配

• DOI: 10.1109/fnwf55208.2022.00109
• 发表时间: 2022
• 期刊: 2022 IEEE Future Networks World Forum (FNWF
• 作者: Majumdar, Ishani B.;Vosoughitabar, Shaghayegh;Michael Wu, Chung-Tse;Mandayam, Narayan B.;Brodie, Joseph F.;Golparvar, Behzad;Wang, Ruo-Qian
• 通讯作者: Wang, Ruo-Qian